What are the two variables it makes sense to correlate in this data set?
Correlations
- The following correlation co-efficients correspond with the graphs below. Just match them. (5)
- a) r(24) = 0.999
- b) r(24) = -0.991
- c) r(24) = 0.359
- d) r(24) = -0.540
- e) r(24) = 0.0289
1 60
40
20
0
2 60
40
20
0
0 20 40 60
0 20 40 60 80
3 100
50
0
4 200
100
0 20 40 60 80
0
60
40
5 20
0
0 20 40 60
0 20 40 60 80
- Look at the following relationships. Which criteria of causation does it violate? (1)
- Temporal precedence, covaration and non-spuriousness
- Covaration
- Temporal precedence and covariation
- Non-spuriousness
- Temporal precedence and non-spuriousness.
Working with data
Correlation
This exercise refers to the dataset
- What are the two variables it makes sense to correlate in this data set? (1)
- Generate a sensible hypothesis for the study. (1)
- How many participants took part in the study? (1)
- What were the degrees of freedom? (1)
- Run a bivariate correlation and paste the output here (2)
- What was the correlation co-efficient? (1)
- What was the significance level of the correlation? (1)
- Write out the results in APA style. (2)
- the hypothesis
- the descriptive statistics
- the inferential statistics
- whether the data support your hypothesis
Controlling for Other Variables
This exercise refers to the dataset
- Think of three confounding variable in the study outlined above. (3)
- The researchers decided to see if global self esteem was a confounding variable. Write out an appropriate hypothesis for this. (1)
- Run the partial correlation. What does this tell you about the relationship between body image and social media when the influence of global self esteem is taken into account. (2)
- Report the results in full APA style (1)
- How would you explain the results? (3)
